QA Engineer
NTT Ltd. (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 6–12 LPA
Posted on 31 Aug
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Job description
Structured overview of role & requirements
About This Role
- Manage quality assurance and data validation for migrated Snowflake workloads on Databricks, including executing test cases and validating source-to-target parity.
- Capture test evidence, track defects, support reconciliation, and report quality status through SIT, QA, production readiness, and hypercare phases.
- Coordinate defect reproduction, triage, and retesting with Data Engineers and contribute to final validation reports and operational handoff documentation.
Minimum Requirements
- Experience in data migration testing, SQL validation, ETL/ELT testing, and defect management.
- Familiarity with Snowflake and Databricks environments and source-to-target comparison methods (row count, aggregate checks, schema validation).
- Knowledge of test evidence documentation, automated testing concepts, and quality reporting.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in data pipeline validation and integration flows in cloud data platforms like Snowflake and Databricks.
- Operationally strong in test planning, defect lifecycle management, and validation metrics reporting across multiple release phases.
- Able to work closely with data engineering teams to reproduce and resolve data quality issues during complex migration projects.